
Autonomous Driving Network
Network Architecture in the Era of Autonomy
- 377 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Autonomous Driving Network
Network Architecture in the Era of Autonomy
About this book
Aiming to outline the vision of realizing automated and intelligent communication networks in the era of intelligence, this book describes the development history, application scenarios, theories, architectures, and key technologies of Huawei's Autonomous Driving Network (ADN) solution.
In the book, the authors explain the design of the top-level architecture, hierarchical architecture (ANE, NetGraph, and AI Native NE), and key feature architecture (distributed AI and endogenous security) that underpin Huawei's ADN solution. The book delves into various key technologies, including trustworthy AI, distributed AI, digital twin, network simulation, digitization of knowledge and expertise, human-machine symbiosis, NE endogenous intelligence, and endogenous security. It also provides an overview of the standards and level evaluation methods defined by industry and standards organizations, and uses Huawei's ADN solution as an example to illustrate how to implement AN.
This book is an essential reference for professionals and researchers who want to gain a deeper understanding of automated and intelligent communication networks and their applications.
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Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Table of Contents
- Foreword I
- Foreword II
- Foreword III
- Foreword IV
- Preface
- Introduction
- Chapter 1 ◾ Birth of ADN
- Chapter 2 ◾ Application Scenarios of ADN
- Chapter 3 ◾ Fundamental Theories of ADN
- Chapter 4 ◾ Reference Architecture of ADN
- Chapter 5 ◾ Key Technologies of ADN
- Chapter 6 ◾ Industry Standards
- Chapter 7 ◾ Level Evaluation of ADN
- Chapter 8 ◾ ADN Solution
- Chapter 9 ◾ Summary and Outlook
- Glossary